{"id":"https://openalex.org/W2790873102","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302013","title":"Person re-identification by deep MAX pooling network","display_name":"Person re-identification by deep MAX pooling network","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2790873102","doi":"https://doi.org/10.1109/cisp-bmei.2017.8302013","mag":"2790873102"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei.2017.8302013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100682152","display_name":"Guang Han","orcid":"https://orcid.org/0000-0001-9355-7374"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guang Han","raw_affiliation_strings":["Engineering Research Center of Wideband Wireless Communication Technique, Ministry of Education Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Wideband Wireless Communication Technique, Ministry of Education Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084130091","display_name":"Meng Duan","orcid":"https://orcid.org/0000-0002-5679-2946"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Duan","raw_affiliation_strings":["Engineering Research Center of Wideband Wireless Communication Technique, Ministry of Education Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Wideband Wireless Communication Technique, Ministry of Education Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100324301","display_name":"Liu Liu","orcid":"https://orcid.org/0000-0003-4218-8008"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Liu","raw_affiliation_strings":["Engineering Research Center of Wideband Wireless Communication Technique, Ministry of Education Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Engineering Research Center of Wideband Wireless Communication Technique, Ministry of Education Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100682152"],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.091,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.50987867,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11019","display_name":"Image Enhancement Techniques","score":0.9940000176429749,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7976438999176025},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7345879673957825},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7156010270118713},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7031654119491577},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6740909218788147},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6477710008621216},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5295095443725586},{"id":"https://openalex.org/keywords/viewpoints","display_name":"Viewpoints","score":0.5152419209480286},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.47745898365974426},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4654581844806671},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.46284550428390503},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4546908736228943},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4505860209465027},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.44499245285987854},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.42952844500541687},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3237239122390747},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27312660217285156},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.09449687600135803}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7976438999176025},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7345879673957825},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7156010270118713},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7031654119491577},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6740909218788147},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6477710008621216},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5295095443725586},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.5152419209480286},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.47745898365974426},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4654581844806671},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.46284550428390503},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4546908736228943},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4505860209465027},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.44499245285987854},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.42952844500541687},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3237239122390747},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27312660217285156},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.09449687600135803},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei.2017.8302013","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei.2017.8302013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W844604816","https://openalex.org/W1686810756","https://openalex.org/W1887734902","https://openalex.org/W1903029394","https://openalex.org/W1928419358","https://openalex.org/W1949591461","https://openalex.org/W2029287185","https://openalex.org/W2042436258","https://openalex.org/W2068042582","https://openalex.org/W2095705004","https://openalex.org/W2117060632","https://openalex.org/W2127589108","https://openalex.org/W2135442311","https://openalex.org/W2151873133","https://openalex.org/W2163605009","https://openalex.org/W2204750386","https://openalex.org/W2300840837","https://openalex.org/W2395611524","https://openalex.org/W2414767909","https://openalex.org/W2502225121","https://openalex.org/W3098711604"],"related_works":["https://openalex.org/W2385368906","https://openalex.org/W2626642044","https://openalex.org/W2902924992","https://openalex.org/W2388758053","https://openalex.org/W2619807045","https://openalex.org/W2949734191","https://openalex.org/W2017333877","https://openalex.org/W2979990497","https://openalex.org/W2991522752","https://openalex.org/W2154140103"],"abstract_inverted_index":{"Person":[0,38],"re-identification":[1,39],"is":[2,19,48],"a":[3,57,80,140],"fast":[4],"growing":[5],"research":[6],"area":[7],"that":[8],"aims":[9],"at":[10],"matching":[11],"pedestrian":[12,113],"images":[13],"across":[14],"camera":[15,35,134],"views.":[16],"This":[17],"problem":[18],"particularly":[20],"challenging":[21],"because":[22],"of":[23,26,71,84,125],"complex":[24],"variations":[25,124],"viewpoints,":[27,126],"poses,":[28,127],"lighting,":[29,128],"occlusions,":[30,129],"resolutions,":[31,130],"background":[32,131],"clutter":[33,132],"and":[34,75,99,133,152],"settings.":[36,135],"A":[37],"algorithm":[40,78,94,105],"based":[41],"on":[42,143],"the":[43,51,72,77,85,93,96,101,117,149],"deep":[44,64],"max":[45,65],"pooling":[46,66],"network":[47,67],"proposed":[49,106,118,137],"for":[50],"difficult":[52],"problem.":[53],"First,":[54],"we":[55],"present":[56],"novel":[58],"Convolutional":[59],"Neural":[60],"Network":[61],"(CNN)":[62],"called":[63],"to":[68,123],"learn":[69],"features":[70],"input":[73],"persons,":[74],"then":[76],"gets":[79,100],"similarity":[81,98],"measure":[82],"function":[83],"related":[86],"person":[87],"with":[88],"independent":[89],"metric":[90],"learning.":[91],"Finally,":[92],"weights":[95],"original":[97],"ultimate":[102],"similarity.":[103],"The":[104,136],"in":[107],"this":[108],"paper":[109],"can":[110],"effectively":[111],"express":[112],"image":[114],"information.":[115],"Furthermore,":[116],"method":[119,138],"has":[120,153],"strong":[121],"robustness":[122],"achieves":[139],"69.5%":[141],"rank-1":[142],"market1505":[144],"benchmark.":[145],"It":[146],"greatly":[147],"improves":[148],"recognition":[150],"rate":[151],"practical":[154],"application":[155],"value.":[156]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}